vehicle = load('vehicle.data');
vehicle_meas =  vehicle(:, 1:size(vehicle, 2)-1);
vehicle_out = vehicle(:, size(vehicle, 2));

vehicle_meass = sparse(vehicle_meas);

disp('----------------------------');
disp('PREDICT dla vehicle.data:');
model = train(vehicle_out, vehicle_meass, '-s 4');
[l,a]=predict(vehicle_out, vehicle_meass, model);